What evidence do you actually need to debug or audit an AI coding session?
Reddit user u/Additional-Ladder-24 explores how much of an AI coding session you need to reconstruct when an agent produces an unexpected result. A transcript alone may not suffice; useful evidence could include the sequence of user and assistant messages, tool calls with inputs, outputs and timestamps, visible reasoning summaries and status changes, code or artifact revisions, retries, regenerated responses, execution branches, and the relationship between actions and resulting changes. The author is considering a session exporter or telemetry layer that preserves these events in a structured, inspectable format, and asks builders and users of AI coding agents what information is typically missing during investigations, whether existing logs and exports are sufficient, and what a structu…
The post itemizes the evidence types needed to investigate AI coding sessions and asks developers about real gaps in existing logs and exports.
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